RRepoGEO

REPOGEO REPORT · LITE

Nixtla/nixtla

Default branch main · commit 080ffdcd · scanned 5/24/2026, 5:26:57 AM

GitHub: 3,890 stars · 323 forks

AI VISIBILITY SCORE
71 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 when recommended
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Nixtla/nixtla, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to emphasize 'generative AI tool' for business/IoT

    Why:

    CURRENT
    TimeGPT is a production ready, generative pretrained transformer for time series. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
    COPY-PASTE FIX
    TimeGPT is the first production-ready **generative AI tool** for time series forecasting and anomaly detection, powered by a pre-trained transformer. It delivers accurate predictions for complex business and IoT data across domains like retail, electricity, and finance with just a few lines of code 🚀.
  • mediumreadme#2
    Add explicit license clarification to README

    Why:

    COPY-PASTE FIX
    ## License 
 Nixtla is released under a custom license. Please refer to the [LICENSE file](https://github.com/Nixtla/nixtla/blob/main/LICENSE) for full details.
  • mediumtopics#3
    Add more specific application-oriented topics

    Why:

    CURRENT
    agent, agentic-ai, anomaly-detection, artificial-intelligence, deep-learning, forecasting, foundation-models, generative-ai-time-series, gpt, gpts, llm, llms, time-series, time-series-forecasting, timegpt
    COPY-PASTE FIX
    agent, agentic-ai, anomaly-detection, artificial-intelligence, deep-learning, forecasting, foundation-models, generative-ai-time-series, gpt, gpts, llm, llms, time-series, time-series-forecasting, timegpt, business-forecasting, iot-forecasting, predictive-analytics-tool, enterprise-ai-solution

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
1 / 2
50% of queries surface Nixtla/nixtla
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
Chronos
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Chronos · recommended 1×
  2. PatchTST/PatchTST · recommended 1×
  3. DeepAR · recommended 1×
  4. N-BEATS · recommended 1×
  5. awslabs/autogluon · recommended 1×
  • CATEGORY QUERY
    Seeking a pre-trained foundation model for time series forecasting and anomaly detection tasks.
    you: #2
    AI recommended (in order):
    1. Chronos
    2. TimeGPT-1 (Nixtla/nixtla) ← you
    3. PatchTST (PatchTST/PatchTST)
    4. DeepAR
    5. N-BEATS
    6. AutoGluon-TimeSeries (awslabs/autogluon)
    Show full AI answer
  • CATEGORY QUERY
    What are the best generative AI tools for predicting complex business and IoT data?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vertex AI
    2. Amazon SageMaker
    3. Microsoft Azure Machine Learning
    4. Azure OpenAI Service
    5. Hugging Face Transformers
    6. DataRobot
    7. Domino Data Lab

    AI recommended 7 alternatives but never named Nixtla/nixtla. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Nixtla/nixtla?
    pass
    AI named Nixtla/nixtla explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Nixtla/nixtla in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Nixtla/nixtla explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Nixtla/nixtla solve, and who is the primary audience?
    pass
    AI named Nixtla/nixtla explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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Nixtla/nixtla — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite